政治
多样性(政治)
政治学
民主
确认偏差
社会学
实证经济学
认识论
工程伦理学
法律与经济学
环境伦理学
心理学
社会心理学
法学
经济
工程类
哲学
标识
DOI:10.1177/00953997251327162
摘要
This essay examines the ethical challenges of AI-driven politics, focusing on political bias. It identifies two sources of bias: inherent technological bias in AI systems and bias introduced through human use. The study highlights the need for robust ethical frameworks to mitigate these biases and ensure political fairness. It explores the impact of AI on democratic processes, relevant ethical theories, and practical strategies for addressing bias, such as promoting diversity in AI development and regulatory oversight. The essay concludes that continuous ethical evaluation is essential for responsible AI integration in political contexts.
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